dolphin-2.9.1-yi-1.5-34b
Will it run on your hardware?
Pick your GPU memory - see which quantizations fit, and the cheapest card for the rest
Need an exact figure for your context length? Use the VRAM calculator.
Run it locally
Copy-paste - running in under a minute
vllm serve dphn/dolphin-2.9.1-yi-1.5-34bNew to this? Start with Ollama · serve to many users with vLLM.
Deep dive
Notes, sources, and the full write-up
dolphin-2.9.1-yi-1.5-34b
dolphin-2.9.1-yi-1.5-34b is a 34.4B-parameter apache-2.0 model from dphn. At Q4_K_M it needs roughly 20 GB of VRAM, placing it in the 12-24gb hardware tier.
Specifications
| Spec | Value |
|---|---|
| Parameters | 34.4B |
| Context length | 8K tokens |
| License | apache-2.0 |
| Modalities | text |
| Released | 2024-05-18 |
| Weights | dphn/dolphin-2.9.1-yi-1.5-34b |
VRAM requirements
| Quant | VRAM | Runs on |
|---|---|---|
| Q4_K_M | ~20 GB | RTX 3090, RTX 4090 |
| Q5_K_M | ~24 GB | RTX 3090, RTX 4090 |
| Q8_0 | ~37 GB | RTX 6000 Ada, dual RTX 3090 |
| FP16 | ~69 GB | A100 80GB, H100 |
VRAM is estimated from parameter count; MoE models still need all weights resident.
How to run
vLLM:
vllm serve dphn/dolphin-2.9.1-yi-1.5-34bPopularity
dolphin-2.9.1-yi-1.5-34b has 4,725,661 downloads in the last month on HuggingFace and 64 likes.
Frequently asked
Quick answers to common questions
How much VRAM does dolphin-2.9.1-yi-1.5-34b need?
dolphin-2.9.1-yi-1.5-34b with 34.4B parameters needs approximately 20 GB at Q4_K_M quantization. Use our VRAM calculator for an exact estimate.
Is dolphin-2.9.1-yi-1.5-34b better than other 01-ai models?
dolphin-2.9.1-yi-1.5-34b has 34.4B parameters with 8,192 context - a strong choice for general use.
What license is dolphin-2.9.1-yi-1.5-34b under?
dolphin-2.9.1-yi-1.5-34b is released under the apache-2.0 license, making it suitable for most commercial and personal projects.
What hardware runs dolphin-2.9.1-yi-1.5-34b well?
With 34.4B parameters, dolphin-2.9.1-yi-1.5-34b requires adequate VRAM. High-end GPUs like the RTX 4090 (24GB), RTX 5090 (32GB), or Mac Studio with unified memory are good options. Check our hardware directory for specific recommendations.
What is the best quantization for dolphin-2.9.1-yi-1.5-34b?
Q4_K_M is the recommended sweet spot - ~98% of FP16 quality at ~27% of the size. Q5_K_M (~24 GB) is an option if you have spare VRAM. Use our VRAM calculator to compare.
What models compete with dolphin-2.9.1-yi-1.5-34b?
dolphin-2.9.1-yi-1.5-34b competes with other 17B–52B. Browse our model directory for comparisons, benchmarks, and community reviews to find the best fit.
Nearby options
Similar models and compatible hardware by spec
Similar by size
Comments coming soon
Configure NEXT_PUBLIC_GISCUS_REPO_ID and NEXT_PUBLIC_GISCUS_CATEGORY_ID at giscus.app to enable.